Supervised machine learning categorizes into regression and classification. We use the regression technique to predict the target values of continuous variables, like predicting the salary of an employee. In contrast, we use the classification technique for predicting the class labels for given input data.
In classification, we…
K-Nearest Neighbors is the supervised machine learning algorithm used for classification and regression. It manipulates the training data and classifies the new test data based on distance metrics. It finds the k-nearest neighbors to the test data, and then classification is performed by the majority of class labels.
Selecting the…
When we handle text data, we always have concerns about the data features, pre-processing of data, and more likely the predictions. To improve our model, it is important to understand the data and find the more interesting features in the data like hashtags, links, and many more.
This is a…
When we come across a business analytical problem, without acknowledging the stumbling blocks, we proceed towards the execution. Before realizing the misfortunes, we try to implement and predict the outcomes.
But do those outcomes reveal the strategies to decode the problems?
The answer is NO. We can’t come up with…
Before reading the article, I would like it if you take some time and think about the changes in your social and professional behavior since you have started using social media.
Have you got anything?
Don’t worry. Take a long breath and start reading the article.
“THE TECHNOLOGY THAT CONNECTS…
Image Classification is the technique to extract the features from the images to categorize them in the defined classes. It is a common-sense problem for the human to identify the images but, for the machine, it’s definitely not. …
Let’s come directly on the point, in this article, we will try to develop a machine model on “Default of Credit Card Clients Dataset” hosted on Kaggle and precut whether a customer will default the payment next month.
This dataset contains information on default payments, demographic factors, credit data, history…
Emotion is the state of mind that is aligned with feelings, and thoughts usually directed toward a specific object. Emotion is a behavior that reflects personal significance or opinion regarding the interaction we have with other human beings or related to a certain event. The human being is able to…
Whenever a user wants to share his opinion regarding any trending topic on social media, we try to find the sentiment score of that expressed opinion using sentiment analysis. Twitter is the most widely used micro-blogging social media platform, having nearly 145 million daily active users. …
A while ago whenever we bought a specific product, it was probably recommended by our friends or trusted persons. But now the scenario has changed, what the product recommendations on amazon or movie recommendations on Netflix we are getting that are basically on our own interests. By analyzing the customer’s…
Machine Learning | Data Science Practitioner, Connect with me on LinkedIn - https://linkedin.com/in/amey23/
